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• W3044177908 abstract "In the manufacturing industry, grinding is used as a major process for machining difficult-to-cut materials. Grinding is the most complicated and precise machining process. For grinding machines, continuous generating gear grinding machines are widely used to machine gears which are essential machine elements. However, due to its complicated process, it is very difficult to design a reliable measurement method to identify the grinding wheel loading phenomena during the grinding process. Therefore, this paper proposes a measurement method to identify the grinding wheel loading phenomenon in the grinding process for continuous generating gear grinding machines. In the proposed approach, an acoustic emission (AE) sensor was embedded to monitor the grinding wheel conditions; an offline digital image processing technique was used to determine the loading areas over the surface of Al2O3 grinding wheels; and surface roughness of the ground workpiece was measured to quantify its machining quality. Then these three data were analyzed to find their correlation. The experimental results have shown that there are two stages of grinding in the grinding process and the proposed measurement method can provide a quantitative grinding wheel loading evaluation from the AE signals online." @default.
• W3044177908 created "2020-07-29" @default.
• W3044177908 creator A5010052832 @default.
• W3044177908 creator A5082013141 @default.
• W3044177908 date "2020-07-22" @default.
• W3044177908 modified "2023-10-09" @default.
• W3044177908 title "Grinding Wheel Loading Evaluation by Using Acoustic Emission Signals and Digital Image Processing" @default.
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• W3044177908 doi "https://doi.org/10.3390/s20154092" @default.
• W3044177908 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7435638" @default.
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• W3044177908 hasPublicationYear "2020" @default.
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